PhD Student |
Latest Publications
- Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning: Jan Kaiser et al., arXiv, doi: 10.48550/arXiv.2306.03739
- Application of Machine Learning in Longitudinal Phase Space Prediction at the European XFEL: Zihan Zhu et al., Proceedings of the 40th International Free Electron Laser Conference (FEL2022), doi: https://indico.jacow.org/event/44/contributions/545/
- Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training: Jan Kaiser et al., Proceedings of the 39th International Conference on Machine Learning, doi: https://proceedings.mlr.press/v162/kaiser22a.html
- Accelerating Linear Beam Dynamics Simulations for Machine Learning Applications: Oliver Stein et al., Proceedings of the 13th International Particle Accelerator Conference, doi: 10.18429/JACoW-IPAC2022-WEPOMS036
- First Steps Toward an Autonomous Accelerator, a Common Project Between DESY and KIT: Annika Eichler et al., Proceedings of the 12th International Particle Accelerator Conference, doi: 10.18429/JACoW-IPAC2021-TUPAB298